Performs a principal components analysis on the Metabolite object.

## Usage

```
run_PCA(
object,
nPCs = 10,
impute_method = "half-min",
log = TRUE,
scale = TRUE,
addPC = TRUE
)
```

## Arguments

- object
A Metabolite object.

- nPCs
Number of principal components to be calculated. Default value 10.

- impute_method
Imputation method, the default method is half the minimum value (`half-min`) of the metabolite. Currently support 'half-min', "median", "mean", "zero". `NULL` without imputation.

- log
Performs natural logarithm transformation before PCA analysis.

- scale
scale feature in the PCA calculation.

- addPC
If TRUE, merge PCs with `@sampleData` and return the `object`, else return `PC`.

## Examples

```
data(df_plasma)
d <- run_PCA(df_plasma)
```